Design and operate core AI platform components for training, deploying, and serving ML models at scale.
Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.
Design and build systems that improve the efficiency of ML training and inference workloads.
Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.
Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active users, Reddit is one of the internet's largest sources of information.
Own and improve recommendation and search systems across feed, discovery, search, and content continuation surfaces.
Design, launch, and analyze recommendation/search experiments end-to-end, then use the data to iterate quickly.
Build user, content, creator, and session-level representations from behavioral signals.
Sekai is building the TikTok for mini apps — an AI-driven consumer platform where people create, remix, share, and play interactive content instantly. They are a Series A company backed by Khosla, a16z, Mayfield, and A*, with $30M raised to date, and are a remote-first team looking for ambitious, AI-native builders.
Design and implement content discovery algorithms to deliver a highly personalized user experience on Reddit's Notifications platform.
Enhance core recommendation capabilities including candidate retrieval, ranking models, and budget optimization, deploying ML models and integrating LLMs.
Serve as the primary ML domain expert, driving architectural decisions and collaborating with product, infrastructure, and data science teams.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information.
Design, build, and deploy AI/ML solutions from prototype to production for client business problems.
Apply generative AI and LLMs, establishing MLOps best practices including CI/CD and model monitoring.
Serve as a trusted technical advisor, translating ambiguous problems into well-scoped solutions and presenting to stakeholders.
DevIQ builds modern cloud and data solutions for mid-market companies focused on energy reduction, healthcare, education, and smart cities. The company offers competitive benefits, a strong team culture, and opportunities to work on end-to-end solutions with multi-disciplinary teams.
Lead applied ML initiatives for identity verification, focusing on computer vision models like face liveness detection and anti-spoofing.
Build, train, and optimize deep learning models and pipelines on AWS with strong reproducibility and monitoring.
Collaborate across teams to ensure ML solutions meet privacy, compliance, and reliability requirements.
Mitek is a global leader in digital and biometric identity authentication, fraud prevention, and mobile deposit solutions, serving over 7,500 organizations worldwide. The company is headquartered in San Diego with operations across multiple countries and emphasizes a Virtual 1st culture, valuing flexibility and inclusion.
Design and manage search recommendation services and models to support the content team.
Utilize machine learning-based personalization to enhance content matching and distribution.
Collaborate with cross-functional teams to identify needs and define success metrics.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in 100+ countries, Binance offers a range of products from trading to Web3 with a flat organizational structure and a focus on user-centric innovation.
Lead and grow a cross-functional team of ML engineers, backend engineers, and data analysts.
Guide research and experimentation, balancing long-term innovation with near-term business impact.
Partner with Product and Engineering leaders to identify opportunities for increasing revenue and conversion through personalization.
Constructor is an AI-first ecommerce search and discovery platform helping shoppers find products and enabling global e-commerce brands to drive revenue and conversion. The company offers a fully remote team, unlimited vacation, and a training budget.
Lead the AI and Machine Learning strategy, aligning with business and product objectives.
Oversee the research, development, and deployment of AI/ML solutions from concept to production.
Mentor teams and educate stakeholders on AI capabilities, limitations, and practical applications.
Smart Working is a remote-first company that connects skilled professionals with global teams for full-time roles. They are one of the highest-rated workplaces on Glassdoor, valuing growth and well-being.
Take ownership of the ML API serving NBA recommendations and harden it for low-latency production traffic.
Ship your first agent tool contract end-to-end: schema design, handler implementation, and unit tests.
Set up the eval foundation for agents with golden transcripts, rubric-based judges, and regression suites.
Clutch is a vertical SaaS company backed by Andreessen Horowitz that helps credit unions become fintech lenders, providing affordable lending solutions to over 130 million Americans. The team is small, ambitious, and shipping fast with a culture that values pragmatism and real autonomy.
Design and build systems, manage scalable ML pipelines using Vertex AI Pipelines for training, evaluation and deployment to support ranking, retrieval, and recommendation personalization use cases
Develop and maintain data pipelines that support feature generation, model training, and analytics workflows. Own vector generation via Milvus, storage, and retrieval workflows
Implement model serving solutions using KServe and build APIs using FastAPI for low latency inference Build observability and monitoring for models and pipelines.
People Inc. is America’s largest digital and print publisher. Our 40+ iconic and fast-growing brands harness the best intent-driven content, the fastest sites, and the fewest ads to help nearly 200 million people every month.
Develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.
Build models that automate refunds, getting money back to our customers faster.
Build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with competitive benefits and focus on an inclusive interview experience.
Design, develop, and deploy AI/ML models to automate and improve internal workflow.
Build and maintain ML pipelines within an AWS cloud environment.
Integrate ML capabilities into existing Java and React application workflows.
Oddball aims to improve daily lives by delivering quality software to the federal space. With a team of experienced engineering, product, and UX professionals, we value learning, growth, and making a big impact in a rapidly growing company.
Design and develop machine learning solutions ensuring accuracy, performance, security, and scalability
Implement and maintain end-to-end AI/ML pipelines from data ingestion to deployment
Collaborate across planning, design, and code review to raise overall code quality
We shape the future of communications from remote-first environments. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide, with a strong culture of connection and inclusion.
Build and operate the real-time inference service for the risk decision engine with low latency and high availability.
Own model deployment infrastructure including CI/CD, shadow mode, and staged rollouts.
Build model observability and partner with Risk Data Science for production operation.
Mercury is a fintech company that provides banking services for startups via partner banks. The company is committed to creating a safe environment and values diversity, with a growing team focused on innovation.
Developing machine learning pipelines and custom analytics for image, video, text, geospatial, time series, and structured data
Orchestrating and automating complex data engineering and analytic pipelines
Envisioning, specifying, designing, and implementing core product functionality and conducting mission-critical fieldwork
Striveworks helps organizations harness AI to solve national security and business challenges by serving as a command center between data, models, and outcomes. Founded by data scientists and engineers, the company values a high-trust work environment with individual responsibility for collective results.
Design, build, and ship LLM-powered features and agentic workflows for Gametime users.
Build and maintain evaluation frameworks and prompt testing pipelines for AI-powered experiences.
Contribute to orchestration layer, including agent routing, tool use, and multi-step workflow coordination.
Gametime helps people connect through shared live experiences. They operate platforms on iOS, Android, mobile web, and desktop, supporting over 60,000 events across the US and Canada, fostering a collaborative and inclusive environment where diverse perspectives are valued.
Design, build, and scale systems for customer-facing data products and machine learning workloads.
Collaborate with product, engineering, and cross-functional partners on complex data challenges.
Implement data quality, observability, and governance frameworks for reliable data at scale.
Boulevard provides the first and only client experience platform for appointment-based self-care businesses. The company has an insatiable curiosity and embraces experimentation, with a diverse team that values open communication and equal opportunity.
Train and fine-tune language models powering AI companions and own agent harnesses, agentic loops, and chat interface algorithms.
Build and maintain the full LLM stack from model training to production deployment while tracking cutting-edge NLP research.
Collaborate with validation, content, and dataset preparation teams to design experiments and measure model quality.
Social Discovery Group is one of the world's largest groups of social discovery companies, solving loneliness and disconnection through social entertainment platforms like DateMyAge and Dating.com. The international team of 1000+ professionals works remotely worldwide and is a two-time 'Great Place to Work' winner.
Build, optimize, and embed machine learning models for on-device inference within the QSIDS detection engine.
Collaborate closely with systems engineers to integrate models efficiently into a Go-based engine.
Take models all the way to production and own them once they're running, monitoring performance, detecting drift, and iterating to keep them reliable.
Qohash builds the zero copy data security control layer for enterprises to adopt AI safely. The company has a strong culture centered on five core values: pursuit of excellence, resilience, mission focus, accountability, and embracing conflict.